Multi-Step Ahead Forecasting of Road Condition Using Least Squares Support Vector Machines

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

2 Citations (Scopus)

Original language	English
Title of host publication	European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2014
Place of Publication	Bruges
Pages	661-666
Publication status	Published - 2014
MoE publication type	A4 Conference publication

Cite this

@inproceedings{9b04f69c98014cf7815bb2798829e3e5,

title = "Multi-Step Ahead Forecasting of Road Condition Using Least Squares Support Vector Machines",

author = "Konsta Sirvio and Jaakko Hollm{\'e}n",

note = "VK: algodan hiit",

year = "2014",

language = "English",

isbn = "978-287419095-7",

pages = "661--666",

booktitle = "European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2014",

}

Multi-Step Ahead Forecasting of Road Condition Using Least Squares Support Vector Machines. / Sirvio, Konsta; Hollmén, Jaakko.
European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2014. Bruges, 2014. p. 661-666.

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

TY - GEN

T1 - Multi-Step Ahead Forecasting of Road Condition Using Least Squares Support Vector Machines

AU - Sirvio, Konsta

AU - Hollmén, Jaakko

N1 - VK: algodan hiit

PY - 2014

Y1 - 2014

M3 - Conference article in proceedings

SN - 978-287419095-7

SP - 661

EP - 666

BT - European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2014

CY - Bruges

ER -